The Electronic Manufacturing Service (EMS) industry is moving towards advanced manufacturing and improving supply chain resilience management models. Actively enhancing the resilience of manufacturing and global supply chains will create a new era of manufacturing in Taiwan.
Technology seeks transparent and easy-to-access features, so that technology is no longer limited to a few Human hands; daily life scenes are also expected to be shaped by augmented reality, wearable devices, etc., with a brand-new future look.
The science and technology industry is a rapidly changing market. The ability to continue research and development, innovation, and provide value will determine the future of the tech market. Let's understand the trend of the science and technology industry.
The wireless power industry is expected to grow exponentially. Wireless power has a major impact on almost all fields because it enables the Internet of Things to achieve and develop faster.
New technologies bring forth the new. AI and the cloud are irreversible trends that are strengthening the competitiveness of enterprises. Enterprises should consider how to implement AI and the cloud in each application of the enterprises.
The manufacturing industry has faced multiple operational obstacles caused by the pandemic. How can companies use digital technology to strengthen the industrial ecological chain and their own health in an all-around way?
Countries are actively developing heavy industries, manufacturing, and infrastructure to drive market growth, but they often pay environmental costs accordingly. Approximately 70% of global greenhouse gas emissions come from infrastructure construction and operations, such as power plants, buildings, and transportation. What will be the effect of promoting society's emphasis on low-carbon manufacturing?
Industrial Internet of Things (Indusrial IoT, or IIoT) is the expansion and use of the Internet of Things (IoT) in industrial applications. Industrial IoT focuses on machine-to-machine (M2M) communication, big data, and machine learning (ML) to make industrial operations more efficient and reliable. IIoT covers the entire industrial application, including robotics, medical equipment, and software-defined production processes.